Rio Galeão – Tom Jobim International Airport (SBGL)

Rio Galeão – Tom Jobim International Airport at a glance

Rio Galeão – Tom Jobim International Airport is a large airport in Rio De Janeiro, Rio de Janeiro, Brazil, known to airline systems as GIG. The field elevation of 28 ft (9 m) is the number every arriving pilot dials against QNH — circuit heights and initial approach altitudes at SBGL are all figured from it. The airport handles scheduled commercial service, so expect controlled procedures, published approaches and commercial traffic in the pattern.

Of its 2 runways, the longest — 10/28 — offers 13,123 ft (4000 m) of con surface, with runway lighting for night operations. Runway numbers give magnetic orientation: runway 10 points roughly 100° magnetic.

For the weather side of planning, the live METAR and TAF page for SBGL shows the current observation decoded line by line — wind on an instrument dial, visibility, cloud layers and the resulting flight rules — refreshed continuously from official sources.

Flight-planning notes for Rio Galeão – Tom Jobim International Airport

Density altitude is the quiet performance-killer at any field: on a hot day the 28 ft field elevation of Rio Galeão – Tom Jobim International Airport can translate into a substantially higher density altitude, stretching take-off rolls and flattening climb rates — run the numbers rather than trusting the feel of a standard day. Expect published instrument procedures, controlled airspace and clearance requirements; slots and handling may apply to general aviation traffic.

This entry is one of 138 airports and airfields we list for Brazil — the country index on the airports hub links the rest. Coordinates above are given in both DMS and decimal degrees so they can go straight into a GPS, a flight planner or a chart plot without conversion.

Where this data comes from

The reference layer behind this page builds on the OurAirports dataset — a public-domain, community-maintained register of the world's airports that many flight planners and apps rely on — with equity records preserved from documented historical listings where the dataset is silent. Figures are carried as published: elevations as surveyed, coordinates as filed, runway dimensions as recorded. Nothing is estimated to fill a gap, and the whole layer regenerates from source on every site build, so corrections upstream arrive here automatically.